{"product_id":"data-science-with-julia-9781138499997","title":"Data Science with Julia","description":"\u003cp\u003e • Author(s): Paul D. McNicholas\u003cbr\u003e • Publisher: Taylor \u0026amp; Francis\u003cbr\u003e • Publisher Imprint: CRC Press\u003cbr\u003e • BISAC: Statistics\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\"This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist.\"- Professor Charles Bouveyron, INRIA Chair in Data Science, Université Côte d'Azur, Nice, France\u003c\/p\u003e\u003cp\u003eJulia, an open-source programming language, was created to be as easy to use as languages such as R and Python while also as fast as C and Fortran. An accessible, intuitive, and highly efficient base language with speed that exceeds R and Python, makes Julia a formidable language for data science. Using well known data science methods that will motivate the reader, \u003ci\u003eData Science with Julia \u003c\/i\u003ewill get readers up to speed on key features of the Julia language and illustrate its facilities for data science and machine learning work.\u003c\/p\u003e\u003cp\u003eFeatures: \u003c\/p\u003e\u003cul\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eCovers the core components of Julia as well as packages relevant to the input, manipulation and representation of data.\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eDiscusses several important topics in data science including supervised and unsupervised learning.\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eReviews data visualization using the Gadfly package, which was designed to emulate the very popular ggplot2 package in R. Readers will learn how to make many common plots and how to visualize model results.\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003ePresents how to optimize Julia code for performance.\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eWill be an ideal source for people who already know R and want to learn how to use Julia (though no previous knowledge of R or any other programming language is required). \u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003eThe advantages of Julia for data science cannot be understated. Besides speed and ease of use, there are already over 1,900 packages available and Julia can interface (either directly or through packages) with libraries written in R, Python, Matlab, C, C++ or Fortran. The book is for senior undergraduates, beginning graduate students, or practicing data scientists who want to learn how to use Julia for data science.\u003c\/p\u003e\u003cp\u003e\"This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist.\"\u003c\/p\u003e\u003cp\u003eProfessor Charles Bouveyron\u003cbr\u003eINRIA Chair in Data Science\u003cbr\u003eUniversité Côte d'Azur, Nice, France\u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Hardcover","offer_id":45239262314647,"sku":"9781138499997","price":13825.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781138499997.webp?v=1769222117","url":"https:\/\/atlanticbooks.com\/products\/data-science-with-julia-9781138499997","provider":"Atlantic Books","version":"1.0","type":"link"}